org.nd4j.linalg.api.ops.impl.shape

Class Eye

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.shape.Eye

All Implemented Interfaces:

CustomOp

public class Eye
extends DynamicCustomOp

Computes a batch of identity matrices of shape (numRows, numCols), returns a single tensor. This batch of identity matrices can be specified as list of integers. Example: batchShape: [3,3]
numRows: 2
numCols: 4

returns a tensor of shape (3, 3, 2, 4) that consists of 3 * 3 batches of (2,4)-shaped identity matrices:

1 0 0 0
0 1 0 0

Author:

Max Pumperla

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments

Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction

dimensions, extraArgs, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
Eye()
Eye(SameDiff sameDiff, int numRows)
Eye(SameDiff sameDiff, int numRows, int numCols)
Eye(SameDiff sameDiff, int numRows, int numCols, int[] batchDimension)
Eye(SameDiff sameDiff, SDVariable numRows)
Eye(SameDiff sameDiff, SDVariable numRows, SDVariable numCols)
Eye(SameDiff sameDiff, SDVariable numRows, SDVariable numCols, SDVariable batch_shape)

Method Summary

Modifier and Type	Method and Description
protected void	addArgs()
List<SDVariable>	doDiff(List<SDVariable> outGrad) The actual implementation for automatic differentiation.
String	onnxName() The opName of this function in onnx
String	opName() This method returns op opName as string
String	tensorflowName() The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, asProperties, assertValidForExecution, builder, calculateOutputShape, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, populateInputsAndOutputsFromSameDiff, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setOutputArgument, tArgs, toString

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, f, getNumOutputs, getValue, hashCode, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp

isInplaceCall

Constructor Detail

Eye

public Eye()

Eye

public Eye(SameDiff sameDiff,
           SDVariable numRows)

Eye

public Eye(SameDiff sameDiff,
           SDVariable numRows,
           SDVariable numCols)

Eye

public Eye(SameDiff sameDiff,
           SDVariable numRows,
           SDVariable numCols,
           SDVariable batch_shape)

Eye

public Eye(SameDiff sameDiff,
           int numRows)

Eye

public Eye(SameDiff sameDiff,
           int numRows,
           int numCols)

Eye

public Eye(SameDiff sameDiff,
           int numRows,
           int numCols,
           int[] batchDimension)

Method Detail

addArgs

protected void addArgs()

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class DynamicCustomOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

opName

public String opName()

Description copied from class: DynamicCustomOp

This method returns op opName as string

Specified by:

opName in interface CustomOp

Overrides:

opName in class DynamicCustomOp

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> outGrad)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class DynamicCustomOp

Returns: